group 59

Slidkalniņš: 1
CONFERENCE ROOM
That’s a pretty high rate. Are certain age groups or weight categories more affected?
We also need to analyse the travel history and interaction with wildlife. These factors could help us identify the source of the outbreak.
The incidence rate is calculated as (55,890 / 625,000) * 1,000, which gives us approximately 89.42 cases per 1,000 individuals.
Demographic analysis helps identify patterns and disparities in disease impact across subgroups.
Slidkalniņš: 2
Let’s run some statistical tests. We can use chi-square to check if co-morbidities are linked to infection rates.
1 2 3 4 5
Agreed. We can also perform regression analysis to predict the likelihood of infection based on multiple variables like age, weight, and travel history.
Statistical tests, such as chi-square, assess associations between risk factors and infection rates.
Slidkalniņš: 3
I'll pull together all the data and clean it up for analysis. We should also check for any biases—we can’t afford to overlook anything.
FILES
NURSE ELIZABETH
Data cleaning and preparation ensure accuracy in the subsequent quantitative analysis.

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